mirror of
https://github.com/tensorflow/tensorflow.git
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9b5fa66dc6
1) Hermetic CUDA rules allow building wheels with GPU support on a machine without GPUs, as well as running Bazel GPU tests on a machine with only GPUs and NVIDIA driver installed. When `--config=cuda` is provided in Bazel options, Bazel will download CUDA, CUDNN and NCCL redistributions in the cache, and use them during build and test phases.
[Default location of CUNN redistributions](https://developer.download.nvidia.com/compute/cudnn/redist/)
[Default location of CUDA redistributions](https://developer.download.nvidia.com/compute/cuda/redist/)
[Default location of NCCL redistributions](https://pypi.org/project/nvidia-nccl-cu12/#history)
2) To include hermetic CUDA rules in your project, add the following in the WORKSPACE of the downstream project dependent on XLA.
Note: use `@local_tsl` instead of `@tsl` in Tensorflow project.
```
load(
"@tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
"cuda_json_init_repository",
)
cuda_json_init_repository()
load(
"@cuda_redist_json//:distributions.bzl",
"CUDA_REDISTRIBUTIONS",
"CUDNN_REDISTRIBUTIONS",
)
load(
"@tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
"cuda_redist_init_repositories",
"cudnn_redist_init_repository",
)
cuda_redist_init_repositories(
cuda_redistributions = CUDA_REDISTRIBUTIONS,
)
cudnn_redist_init_repository(
cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
)
load(
"@tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
"cuda_configure",
)
cuda_configure(name = "local_config_cuda")
load(
"@tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
"nccl_redist_init_repository",
)
nccl_redist_init_repository()
load(
"@tsl//third_party/nccl/hermetic:nccl_configure.bzl",
"nccl_configure",
)
nccl_configure(name = "local_config_nccl")
```
PiperOrigin-RevId: 662981325
114 lines
2.9 KiB
Python
114 lines
2.9 KiB
Python
# buildifier: disable=load-on-top
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workspace(name = "org_tensorflow")
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# buildifier: disable=load-on-top
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# We must initialize hermetic python first.
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load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
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http_archive(
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name = "rules_java",
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sha256 = "c73336802d0b4882e40770666ad055212df4ea62cfa6edf9cb0f9d29828a0934",
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url = "https://github.com/bazelbuild/rules_java/releases/download/5.3.5/rules_java-5.3.5.tar.gz",
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)
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# Initialize the TensorFlow repository and all dependencies.
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#
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# The cascade of load() statements and tf_workspace?() calls works around the
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# restriction that load() statements need to be at the top of .bzl files.
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# E.g. we can not retrieve a new repository with http_archive and then load()
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# a macro from that repository in the same file.
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load("@//tensorflow:workspace3.bzl", "tf_workspace3")
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tf_workspace3()
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# Initialize hermetic Python
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load("@local_xla//third_party/py:python_init_rules.bzl", "python_init_rules")
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python_init_rules()
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load("@local_xla//third_party/py:python_init_repositories.bzl", "python_init_repositories")
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python_init_repositories(
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default_python_version = "system",
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requirements = {
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"3.9": "//:requirements_lock_3_9.txt",
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"3.10": "//:requirements_lock_3_10.txt",
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"3.11": "//:requirements_lock_3_11.txt",
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"3.12": "//:requirements_lock_3_12.txt",
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},
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)
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load("@local_xla//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")
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python_init_toolchains()
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load("@local_xla//third_party/py:python_init_pip.bzl", "python_init_pip")
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python_init_pip()
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load("@pypi//:requirements.bzl", "install_deps")
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install_deps()
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# End hermetic Python initialization
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load("@//tensorflow:workspace2.bzl", "tf_workspace2")
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tf_workspace2()
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load("@//tensorflow:workspace1.bzl", "tf_workspace1")
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tf_workspace1()
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load("@//tensorflow:workspace0.bzl", "tf_workspace0")
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tf_workspace0()
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load(
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"@local_tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
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"cuda_json_init_repository",
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)
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cuda_json_init_repository()
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load(
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"@cuda_redist_json//:distributions.bzl",
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"CUDA_REDISTRIBUTIONS",
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"CUDNN_REDISTRIBUTIONS",
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)
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load(
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"@local_tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
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"cuda_redist_init_repositories",
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"cudnn_redist_init_repository",
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)
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cuda_redist_init_repositories(
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cuda_redistributions = CUDA_REDISTRIBUTIONS,
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)
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cudnn_redist_init_repository(
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cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
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)
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load(
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"@local_tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
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"cuda_configure",
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)
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cuda_configure(name = "local_config_cuda")
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load(
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"@local_tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
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"nccl_redist_init_repository",
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)
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nccl_redist_init_repository()
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load(
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"@local_tsl//third_party/nccl/hermetic:nccl_configure.bzl",
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"nccl_configure",
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)
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nccl_configure(name = "local_config_nccl")
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